Mark Thomas Shaw Williams
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Biochemistry top 10%
- Blood transfusion and management
Papers in
- Hematology 10
- Blood groups and transfusion 4
- Acute Myeloid Leukemia Research 3
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- NF-κB Signaling Pathways 3
- Co-authors
- Nay Chi Win (1 shared paper)Madeleine Ennis (6 shared papers)M Rowley (1 shared paper)Clare Milkins (1 shared paper)C. Elliott (1 shared paper)Joan Jones (1 shared paper)J. Stuart Elborn (5 shared papers)Mónica L. Guzmán (3 shared papers)
- Journals
- Transfusion Medicine (3 papers)Journal of Cystic Fibrosis (3 papers)Blood (2 papers)British Journal of Pharmacology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Mark Thomas Shaw Williams
28 papers receiving 640 citations
Peers
Comparison fields: 5 of 87
- Hematology 241
- Biochemistry 54
- Genetics 87
- Immunology 98
- Anesthesiology and Pain Medicine 23
Countries citing papers authored by Mark Thomas Shaw Williams
This map shows the geographic impact of Mark Thomas Shaw Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Thomas Shaw Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Thomas Shaw Williams more than expected).
Fields of papers citing papers by Mark Thomas Shaw Williams
This network shows the impact of papers produced by Mark Thomas Shaw Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Thomas Shaw Williams. The network helps show where Mark Thomas Shaw Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Thomas Shaw Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 147 | |
| 2 | 2016 | 64 | |
| 3 | 2014 | 56 | |
| 4 | 2003 | 46 | |
| 5 | 2021 | 46 | |
| 6 | 2012 | 43 | |
| 7 | 2013 | 28 | |
| 8 | 2024 | 28 | |
| 9 | 2024 | 27 | |
| 10 | 2009 | 22 | |
| 11 | 2021 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2012 | 17 | |
| 14 | 2005 | 16 | |
| 15 | 2012 | 16 | |
| 16 | 2012 | 16 | |
| 17 | 2010 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2012 | 5 |
About Mark Thomas Shaw Williams
Mark Thomas Shaw Williams is a scholar working on Hematology, Cancer Research, Immunology, Biotechnology and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 657 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), NF-κB Signaling Pathways (3 papers), Neonatal Respiratory Health Research (3 papers), Acute Myeloid Leukemia Research (3 papers), Cystic Fibrosis Research Advances (3 papers), Microbial Inactivation Methods (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (241 citations), Biochemistry (54 citations), Genetics (87 citations), Immunology (98 citations) and Anesthesiology and Pain Medicine (23 citations). Mark Thomas Shaw Williams has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Nay Chi Win, Madeleine Ennis, M Rowley, Clare Milkins, C. Elliott, Joan Jones, J. Stuart Elborn, Mónica L. Guzmán, Simon P. Ewen and Helen Wheadon. Their work appears in journals such as Transfusion Medicine, Journal of Cystic Fibrosis, Blood, British Journal of Pharmacology and Journal of Clinical Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.